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The Application of Neural Networks in the Classification of the Electrocardiogram

  • C. D. Nugent
  • J. A. Lopez
  • N. D. Black
  • J. A. C. Webb
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 96)

Abstract

The introduction of computers to assist with classification of the Electrocardiogram (ECG) is considered to be one of the earliest instances of computers in medicine. Over the past 4 decades, since its inception, research techniques in the given field have proliferated. Approaches adopted have included the use of rule based approaches such as Decision Trees, Fuzzy Logic and Expert Systems, to the use of Multivariate Statistical Analysis. The past decade has seen the approach of Neural Networks (NNs) being not only employed in the field, but a very popular and successful approach in comparison with the aforementioned techniques.

Keywords

Feature Vector Feature Selection Feature Extraction Hide Layer Ventricular Repolarization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • C. D. Nugent
  • J. A. Lopez
  • N. D. Black
  • J. A. C. Webb

There are no affiliations available

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